Ruikun Li

According to our database, Ruikun Li authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network.

Ruikun Li, Jiazhen Liu, Huandong Wang, Qingmin Liao, Yong Li

CoRR, August, 2025

Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems.

Jiazhen Liu, Ruikun Li, Huandong Wang, Zihan Yu, Chang Liu, Jingtao Ding, Yong Li

CoRR, May, 2025

Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems.

Jingwen Cheng, Ruikun Li, Huandong Wang, Yong Li

CoRR, May, 2025

Predicting Dynamical Systems across Environments via Diffusive Model Weight Generation.

Ruikun Li, Huandong Wang, Jingtao Ding, Yuan Yuan, Qingmin Liao, Yong Li

CoRR, May, 2025

Predicting the Dynamics of Complex System via Multiscale Diffusion Autoencoder.

Ruikun Li, Jingwen Cheng, Huandong Wang, Qingmin Liao, Yong Li

CoRR, May, 2025

Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning.

Ruikun Li, Huandong Wang, Qingmin Liao, Yong Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Artificial Intelligence for Complex Network: Potential, Methodology and Application.

Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li

CoRR, 2024

Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space.

Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Learning Slow and Fast System Dynamics via Automatic Separation of Time Scales.

Ruikun Li, Huandong Wang, Yong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023